Triple

T8703208
Position Surface form Disambiguated ID Type / Status
Subject Viktor Jansson E206582 entity
Predicate ethnicGroup P194 FINISHED
Object Finns E40747 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Finns | Statement: [Viktor Jansson, ethnicGroup, Finns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finns
Context triple: [Viktor Jansson, ethnicGroup, Finns]
  • A. Finns chosen
    Finns are a Northern European ethnic group native to Finland, known for their distinct Finno-Ugric language, rich cultural traditions, and high standard of living.
  • B. Finfinne
    Finfinne is the Oromo name for Addis Ababa, the capital and largest city of Ethiopia.
  • C. Forlandet
    Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
  • D. Estyn
    Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
  • E. Norg
    Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58b5b44081909e7b33c70fac236d completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef41e3ec08190b29adf483cdf8cc3 completed April 2, 2026, 10:56 p.m.
Created at: March 30, 2026, 6:34 p.m.